Car-Price-Predictor

Model in Jupyter Notebook that loads car info to predict the price based on different attributes Creates a Neural Network using TensorFlow where it processes and evaluates the data Data is partitioned into train, validate and test to better performance Neural Network is created and trained with the training set for a number of epochs Model returns price predicted prices and compares them against the actual prices